Staff/Principal AI Transformation Engineer
Core
Architecting and integrating distributed AI platforms, LLM ecosystems, and production-ready internal AI infrastructure for autonomous driving teams.
Role type
Staff/Principal AI Transformation Engineer (Systems & Infrastructure)
Builds
Unified distributed AI platforms, AI DevOps pipelines, AI Copilots, and large-scale inference/training clusters.
Domain
Autonomous driving, distributed machine learning, cloud infrastructure
Deliverable
production ML models
Required skills
C++, Python, Java, JavaScript, PyTorch, Ray, vLLM, Triton Inference Server, Kubernetes, DeepSpeed, Megatron-LM, distributed LLM training, inference optimization, GPU cluster management, system architecture design, low-level execution optimization
Preferred skills
autonomous driving algorithms, robotics, physics-based simulation engines, ultra-large-scale ML training, AI Copilot applications, autonomous multi-agent frameworks, developer productivity platforms, mission-critical environment delivery, open source contributions
Technologies
PyTorch, Ray, vLLM, Triton Inference Server, Kubernetes, DeepSpeed, Megatron-LM
Responsibilities
Lead evaluation and integration of LLM ecosystems and commercial AI platforms; Architect unified distributed AI platforms spanning data processing, model training, and inference; Embed with autonomous driving teams to deliver production-ready AI ecosystems; Design resilient automation pipelines for LLM deployment and monitoring; Optimize GPU cluster utilization and inference latency; Define technical vision and roadmap for AI infrastructure.
Seniority
Principal, strategy & mentorship
